# Supplementary material for NeurIPS 2022 submission

Run the following command to install the required packages:
```bash
pip install -r requirements.txt
```

The codes for the synthetic model are provided in "synthetic.py" and the codes for real data analysis are provided in "main.py"

### Supported benchmark datasets include;
We consider two benchmark datasets for real data analysis. We pre-process the data in the same way as done in the following paper:
Jaewoong Cho, Gyeongjo Hwang, and Changho Suh. A fair classifier using kernel density
estimation. In Advances in Neural Information Processing Systems, volume 33, pages 15088–
15099, 2020.

- Adult Census Income
D. Dua and C. Graff. UCI machine learning repository, 2017.

- COMPAS Recidivism
J. Angwin, J. Larson, S. Mattu, and L. Kirchner. Machine bias: There’s software
used across the country to 272 predict future criminals. And it’s biased against blacks.
https://www.propublica.org/article/machine-bias-risk-assessments-incriminal-sentencing, 2015.

